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Updated: Jan 20, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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基于血清转换红外光谱学结合机器学习算法,对人类乳病的快速诊断的研究

Ziyi Fang1, Quan Wang2, Xiangxiang Zheng3

  • 1State Key Laboratory of Pathogenesis, Prevention, and Treatment of Central Asian High Incidence Diseases, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China; College of Life Sciences and Technology, Xinjiang University, Urumqi, 830000, China.

Talanta
|January 18, 2026
PubMed
概括

早期诊断人类血病是至关重要的. 这项研究表明,将富里埃变换红外光谱 (FTIR) 与机器学习算法相结合,提供了一种快速而准确的检测甲病的方法.

关键词:
减弱的总反射率 减弱的总反射率里埃变换红外光谱法 红外光谱法人类菌病人类菌病机器学习 机器学习血清的血清是什么意思

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